Results 151 to 160 of about 36,511 (307)
This longitudinal study addressed the relationship between physical activity (PA) and resilience in individuals during home confinement due to the COVID-19 pandemic.
Alejandro Carriedo +3 more
doaj +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
Bivariate postprocessing of wind vectors
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Variational Subdivision for Natural Cubic Splines
This paper explores the intrinsic link between natural cubic splines and subdivision. Natural cubic splines are defined via the variational problem of minimizing a simple approximation of bending energy. A subdivision scheme is derived which converges to
Joe Warren, Henrik Weimer
core
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
Using and interpreting restricted cubic splines [PDF]
Sometimes one wants to model the effect of a variable as a nonlinear smooth curve. A convenient choice for such a curve is a restricted cubic spline.
Maarten L. Buis
core
Constructing Cubic Splines on the Sphere [PDF]
A method to approximate functions defined on a sphere using Tensor Product cubic B-splines is presented here. The method is based on decomposing the sphere into six identical patches obtained by radially projecting the six faces of a circumscribed cube
Hassan, Mosavverul
core
ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin +2 more
wiley +1 more source
Survival estimation through the cumulative hazard with monotone natural cubic splines using convex optimization-the HCNS approach. [PDF]
Bantis LE, Tsimikas JV, Georgiou SD.
europepmc +1 more source

